针对风电间歇性扰动的旋转备用智能优化调度策略

An Intelligent Optimal Dispatch Strategy for Spinning Reserve Coping With Wind Intermittent Disturbance

在风电高渗透条件下,风电的间歇性扰动是严峻的。在陡坡事件接连发生时期,相邻陡坡事件间距的净负荷预测误差,有时可能导致电网严重失衡。为应对风电间歇性扰动的挑战,提出旋转备用智能优化调度策略。首先,考虑关键时段的系统备用贡献能否应对前方最坏可能发生的情况,确定时段紧急态势的识别指标,增强前瞻响应能力。其次,为挖掘系统备用贡献的潜力,针对紧急态势条件,给出不同时段归属不同备用状态的决策机制,并运用"两子集合优化"方法,进行旋转备用智能优化调度。所提智能策略在实施过程中具有较强的适应性优化能力,适应态势的缓急变迁,适应不同紧急态势,特别是在紧急态势期间适应不同系统备用贡献状态的需要。这种适应性优化在预防陡坡事件冲击和节约化石能源、减少污染排放之间,能够实现目标协调,使紧急态势下的实时优化相对于常规实时优化的附加代价极小化,为更多的可再生能源(特别是风能)进入电网创造有利条件。

The rapid variation in wind power output is severe where wind power penetration is high. When the rapid ramping events （RREs） happen one by one, net load forecasting error between adjacent them sometimes may bring the power grid serious imbalance. In this paper, an intelligent dispatching strategy for spinning reserve is proposed to challenge from wind power intermittent disturbance. Firstly, we consider the system reserve contribution （SRC） at the key time interval to cope with the future worst possible situation, and determine the identification index of the urgency time interval. In order to mining SRC potential, in an urgent situation, we also establish the decision-making mechanism of different reserve state belonging to different time interval, and make emergency real-time optimal dispatching by using ＂two subsets optimization method＂. In the implementing process, the proposed intelligent strategy for spinning reserve has strong adaptable optimizations, which can be adapted to the change from normal to urgency situation; especially the different reserve needs can be satisfied in different time intervals. Moreover the strategy can realize the target coordination among guarding against the impacts from RREs, and can enable minimize the additional cost of urgent optimization comparing with conventional optimization, and can create favorable conditions for more renewable energy （especially wind energy） into power grids.